Senior Databricks Data Engineer - Build Scalable Pipelines

Ultra Tendency; Madrid; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid/Remote work options

Certifications paid for

Udemy Business access

Global team events

Descripción de la vacante

Ultra Tendency is seeking a Senior Databricks Data Engineer to design and optimize scalable data pipelines on cloud platforms, collaborating with data scientists and architects to power analytics and ML use cases.

You will mentor junior engineers, establish data quality and governance practices, and drive cost-efficient Databricks environments across Azure, AWS, or GCP. The role supports a hybrid work arrangement across global teams.

Formación

• Experience with Databricks on cloud platforms (Azure/AWS/GCP).
• Strong programming skills in Python or Scala.
• Familiar with CI/CD pipelines and DevOps practices.
• Knowledge of distributed computing and data modeling.

Responsabilidades

• Design, implement, and maintain scalable data pipelines on Databricks Lakehouse Platform.
• Lead batch and streaming workflows powering analytics and ML use cases.
• Collaborate with data scientists, architects, and stakeholders to translate data requirements into production solutions.
• Optimize Databricks clusters for performance and cost.

Conocimientos

Databricks

Spark

Delta Lake

MLflow

Python/Scala

CI/CD

Herramientas

Databricks Workflows

Airflow

Terraform

Descripción del empleo

Ultra Tendency is seeking a Senior Databricks Data Engineer to design and optimize scalable data pipelines on cloud platforms, collaborating with data scientists and architects to power analytics and ML use cases.

You will mentor junior engineers, establish data quality and governance practices, and drive cost-efficient Databricks environments across Azure, AWS, or GCP. The role supports a hybrid work arrangement across global teams.